VVerbCount

N-Gram Analyzer

Find the repeated two- and three-word phrases in your text.

Paste your text to find the multi-word phrases you repeat most. Unlike single-word frequency, n-grams reveal recurring two- and three-word combinations — useful for spotting unintentional repetition and identifying the phrases a piece is really built around.

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What n-grams are and why they help

An n-gram is a sequence of n words. A bigram is two words (“machine learning”), a trigram is three (“search engine optimization”). Looking at phrases instead of single words surfaces patterns that word counts miss: a writer who keeps saying “at the end of the day” or “in order to” can see and trim it, and an SEO can confirm the key phrases a page emphasizes.

VerbCount lists phrases that appear more than once, ranked by frequency, so the results are signal rather than noise. It's a quick way to audit a draft for repetition and tighten your prose.

Putting it to work

For editing: scan the list for filler phrases and vary them. For SEO and content: confirm your target phrases appear and read naturally. For analysis: compare drafts to see how the dominant phrases shift. Combine with the Keyword Density Checker for the single-word view.

Examples

ExampleInputResult
Filler phrase“in order to” repeatedFlagged as a top phrase
Key phrase“search engine” recurringSurfaced as a bigram
Unique textNo repeated phrasesEmpty — nothing repeats

Frequently asked questions

What is an n-gram?

A sequence of n consecutive words. A 2-gram (bigram) is two words; a 3-gram (trigram) is three. This tool focuses on repeated two-word-and-longer phrases.

Why do some phrases not appear?

Only phrases that occur more than once are listed, since a phrase is only interesting when it repeats.

How is this different from keyword density?

Keyword density counts single words; n-grams count multi-word phrases, which reveals repetition that single-word counts miss.

Is my text uploaded?

No. Everything is analyzed locally in your browser.